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Year 9 - Computing

Using data to support decision making

Using data science

Unit Summary

In this unit pupils will discover how to use data to investigate problems and make changes to the world around them. Pupils will be exposed to both global and local data sets and gain an understanding of how visualising data can help with the process of identifying patterns and trends.

Lesson Summary

You will learn to explain how visualising data can help identify patterns and trends to gain insights.

Key Notes

  • Data science is extracting meaning from large data sets to gain insights that support decision making.
  • Data visualisations are visual representations of data such as charts and graphs.
  • Infographics are visual representations of data, often involving pictures that reflect patterns and help tell a story.
  • Some online tools can be used to create data visualisations.

Vocabulary To Learn

  • data science: extracting meaning from large data sets to gain insights that support decision making
  • visualisation: a variety of techniques used to illustrate a problem and/or its solution to make it easier to understand
  • infographic: visual representations of data, often involving pictures that reflect patterns and help tell a story
  • insight: the actionable understanding gained from analysing data

Common Mistakes To Avoid

  • The more data you include in a data visualisation, the better.

3 Quick Questions (With Answers)

1. Describe the system or process from this lesson in clear steps.

Data science is extracting meaning from large data sets to gain insights that support decision making. Data visualisations are visual representations of data such as charts and graphs.

2. Define this computing term and give one practical example. 'data science'

extracting meaning from large data sets to gain insights that support decision making. Add one real device or system example to prove understanding.

3. Correct this common computing misconception.

Mistake: The more data you include in a data visualisation, the better. Correction: Removing unneccesary data from a visualisation can improve the quality of a visualisation.

More Lessons In This Unit

Browse all guides in the Year 9 Computing guide library.